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accession-icon GSE17612
Comparison of post-mortem tissue from brain BA10 region between schizophrenic and control patients.
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of gene expression in two large schizophrenia cohorts identifies multiple changes associated with nerve terminal function.

Publication Title

Analysis of gene expression in two large schizophrenia cohorts identifies multiple changes associated with nerve terminal function.

Sample Metadata Fields

Sex, Age

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accession-icon GSE21935
Comparison of post-mortem tissue from Brodman Brain BA22 region between schizophrenic and control patients
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptional analysis of the superior temporal cortex (BA22) in schizophrenia: Pathway insight into disease pathology and drug development

Publication Title

Transcription and pathway analysis of the superior temporal cortex and anterior prefrontal cortex in schizophrenia.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE52244
Exon-expression profiling of CD4+ T cells derived from HTLV-1-infected individuals with or without malignancy
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

T-cell clones were obtained by limiting dilution culture of PBMC of HTLV-1 carriers. Exon expression profiling was performed using Affymetrix exon array (Affymetrix Human Exon 1.0 ST Array) according to the manufacturer's instructions. Gene version of CEL files 01 to 12 are presented in GSE46518.

Publication Title

HTLV-1-infected CD4+ T-cells display alternative exon usages that culminate in adult T-cell leukemia.

Sample Metadata Fields

Specimen part

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accession-icon SRP069029
PROP1 triggers epithelial-mesenchymal transition-like process in pituitary stem cells [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mutations in PROP1 are the most common cause of hypopituitarism in humans; therefore, unraveling its mechanism of action is highly relevant from a therapeutic perspective. Our current understanding of the role of PROP1 in the pituitary gland is limited to the regulation of pituitary transcription factors Hesx1 and Pit1. To elucidate the comprehensive PROP1-dependent gene regulatory network, we conducted genome wide analysis of PROP1 DNA binding and effects on gene expression in mutant tissues, isolated stem cells and engineered cell lines. We determined that PROP1 is essential for maintaining proliferation of stem cells and stimulating them to undergo an epithelial to mesenchymal transition-like process necessary for cell migration and differentiation. Genomic profiling reveals that PROP1 binds to and represses claudin 23, characteristic of epithelial cells, and it activates EMT inducer genes: Zeb2, Notch2 and Gli2. Our findings identify PROP1 as a central transcriptional component of pituitary stem cell differentiation. Overall design: Pituitary Colony forming cells mRNA of 13-day old wild type (Prop1 +/+), Prop1 mutants (Prop1df/df), wild type (Pit1+/+) and Pit1 mutants (Pit1 dw/dw) mice were generated by deep sequencing, in triplicates.

Publication Title

PROP1 triggers epithelial-mesenchymal transition-like process in pituitary stem cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP058388
Insight into the role of thyroid hormone on neocortex development through global transcriptome analysis of primary cerebrocortical cells: Identification of genes regulated directly and indirectly by triiodothyronine in specific cell types
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Thyroid hormones, thyroxine and triiodothyronine (T3) are crucial for cerebral cortex development acting through regulation of gene expression. To define the transcriptional program under T3 regulation we have performed RNA-Seq of T3-treated and untreated primary mouse cerebrocortical cells. The expression of 1,145 genes or 7.7% of expressed genes was changed upon T3 addition, of which 371 responded to T3 in the presence of cycloheximide indicating direct transcriptional regulation. The results were compared with available transcriptomic datasets of defined cellular types. In this way we could identify genomic targets of T3 in astrocytes and neurons, and in neuron subtypes, such as layer-specific neurons, and neurons expressing specific markers such as prepronociceptin, cholecystokinin, or cortistatin. T3 up-regulates mostly genes related to cell membrane events, such as G-protein signaling, neurotransmission, and ion transport, and down-regulates genes involved in nuclear events, such as cell division, M phase of cell cycle, and chromosome organization and segregation. Remarkably the transcriptomic changes induced by T3 sustain the transition from embryonic to adult patterns of gene expression. The results allowed us to define in molecular terms the elusive role of thyroid hormones on neocortical development. Overall design: Pregnant dams were euthanized on gestational day 17.5, and the fetuses were extracted and euthanized by decapitation. The cerebral cortices were dissected, disaggregated and finally the cells were suspended in culture medium. After 9 days incubation cells were incubated for 24 hours before adding T3 at a final concentration of 10 nM. The cells were harvested 24 hours later. Cells without T3 were incubated in parallel. Cerebral cortices from individual fetuses originated two replicas for the cell culture, one with T3 and another without T3. Number of samples: 6.

Publication Title

Global Transcriptome Analysis of Primary Cerebrocortical Cells: Identification of Genes Regulated by Triiodothyronine in Specific Cell Types.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE97429
Gene expression in the liver remnant is significantly affected by the size of partial hepatectomy - an experimental rat study
  • organism-icon Rattus norvegicus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

Background: Extended hepatectomies may result in post-hepatectomy liver failure, a condition with a high mortality. The main purpose of the present study was to investigate and compare the gene expression profiles in rats subjected to increasing size of partial hepatectomy.

Publication Title

Gene Expression in the Liver Remnant Is Significantly Affected by the Size of Partial Hepatectomy: An Experimental Rat Study.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE61725
Novel transcripts associated with lymph node metastasis in triple negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE61724
Novel transcripts associated with lymph node metastasis in triple negative breast cancer [validation cohort]
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE61723
Novel transcripts associated with lymph node metastasis in triple negative breast cancer [discovery cohort]
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part, Disease stage, Subject

View Samples
accession-icon GSE46602
Expression data from prostate cancer and benign prostate glands
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Prostate cancer is a leading cause of cancer death amongst males. The main clinical dilemma in treating prostate cancer is the high number of indolent cases that confer a significant risk of over diagnosis and over treatment. In this study we have performed a genome expression profiling of tumor tissue specimens from 36 patients with prostate cancer to identify transcripts that delineate aggressive and indolent cancer. We included normal prostate biopsies from 14 patients in our analysis. Unsupervised hierarchical cluster analysis separated the cancer samples into two groups with a significant overrepresentation of tumors from patients with biochemical recurrence in one of the groups (Chi2, p=0.02). The samples were separated by basically three clusters of genes that showed differential expression between the two sample clusters - totaling 371 transcripts. Ingenuity Pathway Analysis revealed that one cluster contained genes associated with invasive properties of the tumor, another genes associated with the cell cycle, and the last cluster genes involved in several biological functions. We successfully validated the transcripts association with recurrence using two publicly available patient datasets totaling 669 patients. Twelve genes were found to be independent predictors of recurrence in multivariate logistical regression analysis.

Publication Title

Expression profiling of prostate cancer tissue delineates genes associated with recurrence after prostatectomy.

Sample Metadata Fields

Age, Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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